Papers by José Lopes
CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues (2020.lrec-1)
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| Challenge: | Crowdsourcing platforms such as Amazon Mechanical Turk have been effective for collecting large corpora of task-based and open-domain conversational dialogues, but difficulties arise when task- based dialogues require expert domain knowledge or rapid access to domain-relevant information. |
| Approach: | They propose a framework for collecting real-time Wizard of Oz dialogues through crowdsourcing for collaborative, complex tasks. |
| Outcome: | The proposed framework avoids interactions that breach procedures only known to experts while enabling the capture of a wide variety of interactions. |
FARMI: A FrAmework for Recording Multi-Modal Interactions (L18-1)
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Patrik Jonell, Mattias Bystedt, Per Fallgren, Dimosthenis Kontogiorgos, José Lopes, Zofia Malisz, Samuel Mascarenhas, Catharine Oertel, Eran Raveh, Todd Shore
| Challenge: | a new framework for recording multi-modal data is needed to capture multi-party, richly recorded corpora and perform real-time processing of such data. |
| Approach: | They propose an open-source processing architecture for corpora and real-time processing . they deploy the architecture in a multi-party deception game with six humans and one robot . |
| Outcome: | The proposed architecture is agnostic to hardware and programming languages, although it's mostly written in Python. |
The Spot the Difference corpus: a multi-modal corpus of spontaneous task oriented spoken interactions (L18-1)
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| Challenge: | a new corpus of task-oriented spontaneous dialogues is available for free . we study the structure of non task-orientated dialogues and how they evolve over time . |
| Approach: | They describe a corpus of 54 interactions between pairs of subjects interacting to find differences in two very similar scenes. |
| Outcome: | The proposed dataset contains 54 interactions between subjects to find differences in two very similar scenes. |